documentation/classarm__compute_1_1_tensor_info.xhtml

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 118   <div class="summary">
 119 <a href="#pub-methods">Public Member Functions</a>  </div>
 120   <div class="headertitle">
 121 <div class="title">TensorInfo Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div>  </div>
 122 </div><!--header-->
 123 <div class="contents">
 124
 125 <p>Store the tensor's metadata.
 126  <a href="classarm__compute_1_1_tensor_info.xhtml#details">More...</a></p>
 127
 128 <p><code>#include &lt;<a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>&gt;</code></p>
 129 <div class="dynheader">
 130 Collaboration diagram for TensorInfo:</div>
 131 <div class="dyncontent">
 132 <div class="center"><iframe scrolling="no" frameborder="0" src="classarm__compute_1_1_tensor_info__coll__graph.svg" width="206" height="279"><p><b>This browser is not able to show SVG: try Firefox, Chrome, Safari, or Opera instead.</b></p></iframe>
 133 </div>
 134 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
 135 <table class="memberdecls">
 136 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 137 Public Member Functions</h2></td></tr>
 138 <tr class="memitem:a21c2ae9fa438faf42669dadda628080c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a> ()</td></tr>
 139 <tr class="memdesc:a21c2ae9fa438faf42669dadda628080c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a21c2ae9fa438faf42669dadda628080c">More...</a><br /></td></tr>
 140 <tr class="separator:a21c2ae9fa438faf42669dadda628080c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 141 <tr class="memitem:a4eb5913c3ce5fe2bcbaafd8c9224d384"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">~TensorInfo</a> ()=default</td></tr>
 142 <tr class="memdesc:a4eb5913c3ce5fe2bcbaafd8c9224d384"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="#a4eb5913c3ce5fe2bcbaafd8c9224d384">More...</a><br /></td></tr>
 143 <tr class="separator:a4eb5913c3ce5fe2bcbaafd8c9224d384"><td class="memSeparator" colspan="2">&#160;</td></tr>
 144 <tr class="memitem:a57911f186d22f552382d39010c09097d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a57911f186d22f552382d39010c09097d">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;info)</td></tr>
 145 <tr class="memdesc:a57911f186d22f552382d39010c09097d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copy constructed.  <a href="#a57911f186d22f552382d39010c09097d">More...</a><br /></td></tr>
 146 <tr class="separator:a57911f186d22f552382d39010c09097d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 147 <tr class="memitem:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a494e9aa78ff5dde1788e0f9a8ba2213a">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;)=default</td></tr>
 148 <tr class="memdesc:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copy constructed.  <a href="#a494e9aa78ff5dde1788e0f9a8ba2213a">More...</a><br /></td></tr>
 149 <tr class="separator:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 150 <tr class="memitem:adcf156ba30ff118c28690671e83ea06b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b">operator=</a> (const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;)=default</td></tr>
 151 <tr class="memdesc:adcf156ba30ff118c28690671e83ea06b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copied.  <a href="#adcf156ba30ff118c28690671e83ea06b">More...</a><br /></td></tr>
 152 <tr class="separator:adcf156ba30ff118c28690671e83ea06b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 153 <tr class="memitem:a134dfebc14c0e971f8df850846764f8e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a134dfebc14c0e971f8df850846764f8e">TensorInfo</a> (<a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&amp;)=default</td></tr>
 154 <tr class="memdesc:a134dfebc14c0e971f8df850846764f8e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be move constructed.  <a href="#a134dfebc14c0e971f8df850846764f8e">More...</a><br /></td></tr>
 155 <tr class="separator:a134dfebc14c0e971f8df850846764f8e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 156 <tr class="memitem:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a532c27f6bf3cd9275cb7fc9a0d0bbf6e">operator=</a> (<a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&amp;)=default</td></tr>
 157 <tr class="memdesc:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved.  <a href="#a532c27f6bf3cd9275cb7fc9a0d0bbf6e">More...</a><br /></td></tr>
 158 <tr class="separator:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 159 <tr class="memitem:a6762d60a00d7d09087ea5cb41d4392a8"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6762d60a00d7d09087ea5cb41d4392a8">TensorInfo</a> (<a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
 160 <tr class="memdesc:a6762d60a00d7d09087ea5cb41d4392a8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Construct a tensor info with a format.  <a href="#a6762d60a00d7d09087ea5cb41d4392a8">More...</a><br /></td></tr>
 161 <tr class="separator:a6762d60a00d7d09087ea5cb41d4392a8"><td class="memSeparator" colspan="2">&#160;</td></tr>
 162 <tr class="memitem:ac307dc31ce68e3cf1273ffbc86e57646"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac307dc31ce68e3cf1273ffbc86e57646">TensorInfo</a> (unsigned int width, unsigned int height, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
 163 <tr class="memdesc:ac307dc31ce68e3cf1273ffbc86e57646"><td class="mdescLeft">&#160;</td><td class="mdescRight">2D tensor constructor  <a href="#ac307dc31ce68e3cf1273ffbc86e57646">More...</a><br /></td></tr>
 164 <tr class="separator:ac307dc31ce68e3cf1273ffbc86e57646"><td class="memSeparator" colspan="2">&#160;</td></tr>
 165 <tr class="memitem:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9fa5acc4d8fd911b9b2fece99d3d5a8d">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
 166 <tr class="memdesc:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a9fa5acc4d8fd911b9b2fece99d3d5a8d">More...</a><br /></td></tr>
 167 <tr class="separator:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 168 <tr class="memitem:a548b5b5c72f04c581933670098a1050f"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a548b5b5c72f04c581933670098a1050f">TensorInfo</a> (size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
 169 <tr class="memdesc:a548b5b5c72f04c581933670098a1050f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Construct a tensor info with a data type and number of channels.  <a href="#a548b5b5c72f04c581933670098a1050f">More...</a><br /></td></tr>
 170 <tr class="separator:a548b5b5c72f04c581933670098a1050f"><td class="memSeparator" colspan="2">&#160;</td></tr>
 171 <tr class="memitem:a95aaadcca549fc310c8e6dddb2ab78d7"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a95aaadcca549fc310c8e6dddb2ab78d7">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
 172 <tr class="memdesc:a95aaadcca549fc310c8e6dddb2ab78d7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a95aaadcca549fc310c8e6dddb2ab78d7">More...</a><br /></td></tr>
 173 <tr class="separator:a95aaadcca549fc310c8e6dddb2ab78d7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 174 <tr class="memitem:a3017dc3990baec97aa09599b82c63b1b"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a3017dc3990baec97aa09599b82c63b1b">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, <a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>)</td></tr>
 175 <tr class="memdesc:a3017dc3990baec97aa09599b82c63b1b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a3017dc3990baec97aa09599b82c63b1b">More...</a><br /></td></tr>
 176 <tr class="separator:a3017dc3990baec97aa09599b82c63b1b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 177 <tr class="memitem:ad3e249a7d8f329aa470d6903c9e415fe"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad3e249a7d8f329aa470d6903c9e415fe">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info, unsigned int width, unsigned int height)</td></tr>
 178 <tr class="memdesc:ad3e249a7d8f329aa470d6903c9e415fe"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#ad3e249a7d8f329aa470d6903c9e415fe">More...</a><br /></td></tr>
 179 <tr class="separator:ad3e249a7d8f329aa470d6903c9e415fe"><td class="memSeparator" colspan="2">&#160;</td></tr>
 180 <tr class="memitem:ad6b64f33be1e66dcf7612483ffb8fd63"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a> (<a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
 181 <tr class="memdesc:ad6b64f33be1e66dcf7612483ffb8fd63"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the tensor info with just a format.  <a href="#ad6b64f33be1e66dcf7612483ffb8fd63">More...</a><br /></td></tr>
 182 <tr class="separator:ad6b64f33be1e66dcf7612483ffb8fd63"><td class="memSeparator" colspan="2">&#160;</td></tr>
 183 <tr class="memitem:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0ae7d318c02e56a3daa9e5e4f9dab117">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
 184 <tr class="memdesc:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure with the given parameters.  <a href="#a0ae7d318c02e56a3daa9e5e4f9dab117">More...</a><br /></td></tr>
 185 <tr class="separator:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="memSeparator" colspan="2">&#160;</td></tr>
 186 <tr class="memitem:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad4b6171ddcf854de5d1226cd4d0b0439">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a>, size_t total_size_in_bytes)</td></tr>
 187 <tr class="memdesc:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure with the given parameters.  <a href="#ad4b6171ddcf854de5d1226cd4d0b0439">More...</a><br /></td></tr>
 188 <tr class="separator:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="memSeparator" colspan="2">&#160;</td></tr>
 189 <tr class="memitem:aa4d75a4cba474685a8a6fa2ea97b2505"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aa4d75a4cba474685a8a6fa2ea97b2505">init</a> (size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
 190 <tr class="memdesc:aa4d75a4cba474685a8a6fa2ea97b2505"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the tensor info with just a format.  <a href="#aa4d75a4cba474685a8a6fa2ea97b2505">More...</a><br /></td></tr>
 191 <tr class="separator:aa4d75a4cba474685a8a6fa2ea97b2505"><td class="memSeparator" colspan="2">&#160;</td></tr>
 192 <tr class="memitem:ad535a8a10fae9fca925ae45c7931b9d6"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad535a8a10fae9fca925ae45c7931b9d6">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
 193 <tr class="memdesc:ad535a8a10fae9fca925ae45c7931b9d6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure with the given parameters.  <a href="#ad535a8a10fae9fca925ae45c7931b9d6">More...</a><br /></td></tr>
 194 <tr class="separator:ad535a8a10fae9fca925ae45c7931b9d6"><td class="memSeparator" colspan="2">&#160;</td></tr>
 195 <tr class="memitem:ab12220b6863064c5dd4742fd0f3f0080"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ab12220b6863064c5dd4742fd0f3f0080">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a>, size_t total_size_in_bytes, int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
 196 <tr class="memdesc:ab12220b6863064c5dd4742fd0f3f0080"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure with the given parameters.  <a href="#ab12220b6863064c5dd4742fd0f3f0080">More...</a><br /></td></tr>
 197 <tr class="separator:ab12220b6863064c5dd4742fd0f3f0080"><td class="memSeparator" colspan="2">&#160;</td></tr>
 198 <tr class="memitem:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eaa68a1707f4ff3983c6dddd21794ea">init</a> (const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info, unsigned int width, unsigned int height)</td></tr>
 199 <tr class="memdesc:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure for the given <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata.  <a href="#a4eaa68a1707f4ff3983c6dddd21794ea">More...</a><br /></td></tr>
 200 <tr class="separator:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="memSeparator" colspan="2">&#160;</td></tr>
 201 <tr class="memitem:a4b7391b7025befbe44b743723feb4a9b"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">init_auto_padding</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
 202 <tr class="memdesc:a4b7391b7025befbe44b743723feb4a9b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated)  <a href="#a4b7391b7025befbe44b743723feb4a9b">More...</a><br /></td></tr>
 203 <tr class="separator:a4b7391b7025befbe44b743723feb4a9b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 204 <tr class="memitem:a316bb82020031b46ad452a7ad0d4b461"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a316bb82020031b46ad452a7ad0d4b461">init_auto_padding</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
 205 <tr class="memdesc:a316bb82020031b46ad452a7ad0d4b461"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure for the given tensor shape, number of channels, data type and fixed point position.  <a href="#a316bb82020031b46ad452a7ad0d4b461">More...</a><br /></td></tr>
 206 <tr class="separator:a316bb82020031b46ad452a7ad0d4b461"><td class="memSeparator" colspan="2">&#160;</td></tr>
 207 <tr class="memitem:a9a30265f100a459de985a9f3f91db76c"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a30265f100a459de985a9f3f91db76c">init_auto_padding</a> (const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info, unsigned int width, unsigned int height)</td></tr>
 208 <tr class="memdesc:a9a30265f100a459de985a9f3f91db76c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure for the given <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata.  <a href="#a9a30265f100a459de985a9f3f91db76c">More...</a><br /></td></tr>
 209 <tr class="separator:a9a30265f100a459de985a9f3f91db76c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 210 <tr class="memitem:a4c066d42d665fafb8cfe80b99411e4fb"><td class="memItemLeft" align="right" valign="top">std::unique_ptr&lt; <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4c066d42d665fafb8cfe80b99411e4fb">clone</a> () const override</td></tr>
 211 <tr class="memdesc:a4c066d42d665fafb8cfe80b99411e4fb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Provide a clone of the current object of class T.  <a href="#a4c066d42d665fafb8cfe80b99411e4fb">More...</a><br /></td></tr>
 212 <tr class="separator:a4c066d42d665fafb8cfe80b99411e4fb"><td class="memSeparator" colspan="2">&#160;</td></tr>
 213 <tr class="memitem:a613528bd0feb15ee8d6df06cbdb629f8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a613528bd0feb15ee8d6df06cbdb629f8">set_data_type</a> (<a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>) override</td></tr>
 214 <tr class="memdesc:a613528bd0feb15ee8d6df06cbdb629f8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the data type to the specified value.  <a href="#a613528bd0feb15ee8d6df06cbdb629f8">More...</a><br /></td></tr>
 215 <tr class="separator:a613528bd0feb15ee8d6df06cbdb629f8"><td class="memSeparator" colspan="2">&#160;</td></tr>
 216 <tr class="memitem:a5b0a9fd674f8748506b6944c030bc47e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a5b0a9fd674f8748506b6944c030bc47e">set_num_channels</a> (int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>) override</td></tr>
 217 <tr class="memdesc:a5b0a9fd674f8748506b6944c030bc47e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the number of channels to the specified value.  <a href="#a5b0a9fd674f8748506b6944c030bc47e">More...</a><br /></td></tr>
 218 <tr class="separator:a5b0a9fd674f8748506b6944c030bc47e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 219 <tr class="memitem:af501bc12f51874e786b0f28016a99ff7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af501bc12f51874e786b0f28016a99ff7">set_format</a> (<a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>) override</td></tr>
 220 <tr class="memdesc:af501bc12f51874e786b0f28016a99ff7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the format of an already initialized tensor.  <a href="#af501bc12f51874e786b0f28016a99ff7">More...</a><br /></td></tr>
 221 <tr class="separator:af501bc12f51874e786b0f28016a99ff7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 222 <tr class="memitem:a7b6610e6100c67d39b712df6f4f80dcf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a7b6610e6100c67d39b712df6f4f80dcf">set_tensor_shape</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;shape) override</td></tr>
 223 <tr class="memdesc:a7b6610e6100c67d39b712df6f4f80dcf"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the shape of an already initialized tensor.  <a href="#a7b6610e6100c67d39b712df6f4f80dcf">More...</a><br /></td></tr>
 224 <tr class="separator:a7b6610e6100c67d39b712df6f4f80dcf"><td class="memSeparator" colspan="2">&#160;</td></tr>
 225 <tr class="memitem:a2732b9eab657cad69807adb815b97c9f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a2732b9eab657cad69807adb815b97c9f">set_fixed_point_position</a> (int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>) override</td></tr>
 226 <tr class="memdesc:a2732b9eab657cad69807adb815b97c9f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the fixed point position to the specified value.  <a href="#a2732b9eab657cad69807adb815b97c9f">More...</a><br /></td></tr>
 227 <tr class="separator:a2732b9eab657cad69807adb815b97c9f"><td class="memSeparator" colspan="2">&#160;</td></tr>
 228 <tr class="memitem:acda9036ad24c455f67f2fea388a0ae13"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#acda9036ad24c455f67f2fea388a0ae13">set_quantization_info</a> (const <a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>) override</td></tr>
 229 <tr class="memdesc:acda9036ad24c455f67f2fea388a0ae13"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the quantization settings (scale and offset) of the tensor.  <a href="#acda9036ad24c455f67f2fea388a0ae13">More...</a><br /></td></tr>
 230 <tr class="separator:acda9036ad24c455f67f2fea388a0ae13"><td class="memSeparator" colspan="2">&#160;</td></tr>
 231 <tr class="memitem:ad29c039b6f3c4534928ed99aa9f53027"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027">reset_padding</a> () override</td></tr>
 232 <tr class="memdesc:ad29c039b6f3c4534928ed99aa9f53027"><td class="mdescLeft">&#160;</td><td class="mdescRight">Resets the padding settings of the tensor.  <a href="#ad29c039b6f3c4534928ed99aa9f53027">More...</a><br /></td></tr>
 233 <tr class="separator:ad29c039b6f3c4534928ed99aa9f53027"><td class="memSeparator" colspan="2">&#160;</td></tr>
 234 <tr class="memitem:a907f837b924945ad1981c8fe8eca61e4"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">auto_padding</a> () override</td></tr>
 235 <tr class="memdesc:a907f837b924945ad1981c8fe8eca61e4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Update the offset to the first element and the strides to automatically computed values.  <a href="#a907f837b924945ad1981c8fe8eca61e4">More...</a><br /></td></tr>
 236 <tr class="separator:a907f837b924945ad1981c8fe8eca61e4"><td class="memSeparator" colspan="2">&#160;</td></tr>
 237 <tr class="memitem:af53d8203ecc37896ca4579d1ee3fdffc"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc">extend_padding</a> (const <a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>) override</td></tr>
 238 <tr class="memdesc:af53d8203ecc37896ca4579d1ee3fdffc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Update the offset to the first element, the strides and the total size.  <a href="#af53d8203ecc37896ca4579d1ee3fdffc">More...</a><br /></td></tr>
 239 <tr class="separator:af53d8203ecc37896ca4579d1ee3fdffc"><td class="memSeparator" colspan="2">&#160;</td></tr>
 240 <tr class="memitem:a8813441b655b97c00139c6a5a6390e97"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a> (size_t index) const override</td></tr>
 241 <tr class="memdesc:a8813441b655b97c00139c6a5a6390e97"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the size of the requested dimension.  <a href="#a8813441b655b97c00139c6a5a6390e97">More...</a><br /></td></tr>
 242 <tr class="separator:a8813441b655b97c00139c6a5a6390e97"><td class="memSeparator" colspan="2">&#160;</td></tr>
 243 <tr class="memitem:a5f1ca9d674346287cae57a6c5b5c24ec"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a> () const override</td></tr>
 244 <tr class="memdesc:a5f1ca9d674346287cae57a6c5b5c24ec"><td class="mdescLeft">&#160;</td><td class="mdescRight">The strides in bytes for accessing each dimension of the tensor.  <a href="#a5f1ca9d674346287cae57a6c5b5c24ec">More...</a><br /></td></tr>
 245 <tr class="separator:a5f1ca9d674346287cae57a6c5b5c24ec"><td class="memSeparator" colspan="2">&#160;</td></tr>
 246 <tr class="memitem:ab54246abe670b06f5624add7e7022904"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a> () const override</td></tr>
 247 <tr class="memdesc:ab54246abe670b06f5624add7e7022904"><td class="mdescLeft">&#160;</td><td class="mdescRight">The offset from the beginning of the memory allocation to the first element of the tensor.  <a href="#ab54246abe670b06f5624add7e7022904">More...</a><br /></td></tr>
 248 <tr class="separator:ab54246abe670b06f5624add7e7022904"><td class="memSeparator" colspan="2">&#160;</td></tr>
 249 <tr class="memitem:a147790358ccd40f61dcd618cd4edd688"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688">offset_element_in_bytes</a> (const <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;pos) const override</td></tr>
 250 <tr class="memdesc:a147790358ccd40f61dcd618cd4edd688"><td class="mdescLeft">&#160;</td><td class="mdescRight">The offset in bytes from the beginning of the memory allocation to access the element at position (x, y, z ...)  <a href="#a147790358ccd40f61dcd618cd4edd688">More...</a><br /></td></tr>
 251 <tr class="separator:a147790358ccd40f61dcd618cd4edd688"><td class="memSeparator" colspan="2">&#160;</td></tr>
 252 <tr class="memitem:a35ccf2eb0c18a15feab2db98b307b78b"><td class="memItemLeft" align="right" valign="top">int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> () const override</td></tr>
 253 <tr class="memdesc:a35ccf2eb0c18a15feab2db98b307b78b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fixed point position used when the tensor data type is QS8 or QS16.  <a href="#a35ccf2eb0c18a15feab2db98b307b78b">More...</a><br /></td></tr>
 254 <tr class="separator:a35ccf2eb0c18a15feab2db98b307b78b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 255 <tr class="memitem:a62b67b578f684c4d516843c9dea86a23"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a> () const override</td></tr>
 256 <tr class="memdesc:a62b67b578f684c4d516843c9dea86a23"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element size in bytes calculated as data_size() * <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c" title="The number of channels for each tensor element. ">num_channels()</a>  <a href="#a62b67b578f684c4d516843c9dea86a23">More...</a><br /></td></tr>
 257 <tr class="separator:a62b67b578f684c4d516843c9dea86a23"><td class="memSeparator" colspan="2">&#160;</td></tr>
 258 <tr class="memitem:a13622133d9b41900a6a3e8f89e59a78b"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">num_dimensions</a> () const override</td></tr>
 259 <tr class="memdesc:a13622133d9b41900a6a3e8f89e59a78b"><td class="mdescLeft">&#160;</td><td class="mdescRight">The number of dimensions of the tensor (rank)  <a href="#a13622133d9b41900a6a3e8f89e59a78b">More...</a><br /></td></tr>
 260 <tr class="separator:a13622133d9b41900a6a3e8f89e59a78b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 261 <tr class="memitem:a6f13b974eeb528acde66de8d9b3fd95c"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a> () const override</td></tr>
 262 <tr class="memdesc:a6f13b974eeb528acde66de8d9b3fd95c"><td class="mdescLeft">&#160;</td><td class="mdescRight">The number of channels for each tensor element.  <a href="#a6f13b974eeb528acde66de8d9b3fd95c">More...</a><br /></td></tr>
 263 <tr class="separator:a6f13b974eeb528acde66de8d9b3fd95c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 264 <tr class="memitem:a269b19ce3f357ac65f41f9951906e38e"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a> () const override</td></tr>
 265 <tr class="memdesc:a269b19ce3f357ac65f41f9951906e38e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Size for each dimension of the tensor.  <a href="#a269b19ce3f357ac65f41f9951906e38e">More...</a><br /></td></tr>
 266 <tr class="separator:a269b19ce3f357ac65f41f9951906e38e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 267 <tr class="memitem:a9a3e72153aeb3ed212e9c3698774e881"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a> () const override</td></tr>
 268 <tr class="memdesc:a9a3e72153aeb3ed212e9c3698774e881"><td class="mdescLeft">&#160;</td><td class="mdescRight">Data type used for each element of the tensor.  <a href="#a9a3e72153aeb3ed212e9c3698774e881">More...</a><br /></td></tr>
 269 <tr class="separator:a9a3e72153aeb3ed212e9c3698774e881"><td class="memSeparator" colspan="2">&#160;</td></tr>
 270 <tr class="memitem:ac4b36cc1e56b0b7e579bb4b7196490db"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a> () const override</td></tr>
 271 <tr class="memdesc:ac4b36cc1e56b0b7e579bb4b7196490db"><td class="mdescLeft">&#160;</td><td class="mdescRight">Colour format of the image.  <a href="#ac4b36cc1e56b0b7e579bb4b7196490db">More...</a><br /></td></tr>
 272 <tr class="separator:ac4b36cc1e56b0b7e579bb4b7196490db"><td class="memSeparator" colspan="2">&#160;</td></tr>
 273 <tr class="memitem:af398466b602a02b42d8df19fb66a6c60"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">total_size</a> () const override</td></tr>
 274 <tr class="memdesc:af398466b602a02b42d8df19fb66a6c60"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the total size of the tensor in bytes.  <a href="#af398466b602a02b42d8df19fb66a6c60">More...</a><br /></td></tr>
 275 <tr class="separator:af398466b602a02b42d8df19fb66a6c60"><td class="memSeparator" colspan="2">&#160;</td></tr>
 276 <tr class="memitem:a79e20eacb1e963e24a21ebd7369effd7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a> () const override</td></tr>
 277 <tr class="memdesc:a79e20eacb1e963e24a21ebd7369effd7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Padding of tensor.  <a href="#a79e20eacb1e963e24a21ebd7369effd7">More...</a><br /></td></tr>
 278 <tr class="separator:a79e20eacb1e963e24a21ebd7369effd7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 279 <tr class="memitem:aa2ca251f99c56767719e991a26371603"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aa2ca251f99c56767719e991a26371603">has_padding</a> () const override</td></tr>
 280 <tr class="memdesc:aa2ca251f99c56767719e991a26371603"><td class="mdescLeft">&#160;</td><td class="mdescRight">Checks if the tensor has been allocated with padding or not.  <a href="#aa2ca251f99c56767719e991a26371603">More...</a><br /></td></tr>
 281 <tr class="separator:aa2ca251f99c56767719e991a26371603"><td class="memSeparator" colspan="2">&#160;</td></tr>
 282 <tr class="memitem:aaee6555ace43b03173844b1a228a3fc3"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a> () const override</td></tr>
 283 <tr class="memdesc:aaee6555ace43b03173844b1a228a3fc3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag indicating whether the size of the tensor can be changed.  <a href="#aaee6555ace43b03173844b1a228a3fc3">More...</a><br /></td></tr>
 284 <tr class="separator:aaee6555ace43b03173844b1a228a3fc3"><td class="memSeparator" colspan="2">&#160;</td></tr>
 285 <tr class="memitem:a78bf77b2d9b959259f77a32b9a412184"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184">set_is_resizable</a> (bool <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>) override</td></tr>
 286 <tr class="memdesc:a78bf77b2d9b959259f77a32b9a412184"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the flag whether the tensor size can be changed.  <a href="#a78bf77b2d9b959259f77a32b9a412184">More...</a><br /></td></tr>
 287 <tr class="separator:a78bf77b2d9b959259f77a32b9a412184"><td class="memSeparator" colspan="2">&#160;</td></tr>
 288 <tr class="memitem:a3c20d908342087484d883574d55dd482"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a> () const override</td></tr>
 289 <tr class="memdesc:a3c20d908342087484d883574d55dd482"><td class="mdescLeft">&#160;</td><td class="mdescRight">Valid region of the tensor.  <a href="#a3c20d908342087484d883574d55dd482">More...</a><br /></td></tr>
 290 <tr class="separator:a3c20d908342087484d883574d55dd482"><td class="memSeparator" colspan="2">&#160;</td></tr>
 291 <tr class="memitem:a43e45363267b6bce4bb6770febe9ce11"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11">set_valid_region</a> (const <a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>) override</td></tr>
 292 <tr class="memdesc:a43e45363267b6bce4bb6770febe9ce11"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the valid region of the tensor.  <a href="#a43e45363267b6bce4bb6770febe9ce11">More...</a><br /></td></tr>
 293 <tr class="separator:a43e45363267b6bce4bb6770febe9ce11"><td class="memSeparator" colspan="2">&#160;</td></tr>
 294 <tr class="memitem:ac74736e3863207232a23b7181c1d0f44"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a> () const override</td></tr>
 295 <tr class="memdesc:ac74736e3863207232a23b7181c1d0f44"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the quantization settings (scale and offset) of the tensor.  <a href="#ac74736e3863207232a23b7181c1d0f44">More...</a><br /></td></tr>
 296 <tr class="separator:ac74736e3863207232a23b7181c1d0f44"><td class="memSeparator" colspan="2">&#160;</td></tr>
 297 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_tensor_info"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_tensor_info')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a></td></tr>
 298 <tr class="memitem:ad998b50febf68540277e121a9c670bfa inherit pub_methods_classarm__compute_1_1_i_tensor_info"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">~ITensorInfo</a> ()=default</td></tr>
 299 <tr class="memdesc:ad998b50febf68540277e121a9c670bfa inherit pub_methods_classarm__compute_1_1_i_tensor_info"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default virtual destructor.  <a href="#ad998b50febf68540277e121a9c670bfa">More...</a><br /></td></tr>
 300 <tr class="separator:ad998b50febf68540277e121a9c670bfa inherit pub_methods_classarm__compute_1_1_i_tensor_info"><td class="memSeparator" colspan="2">&#160;</td></tr>
 301 <tr class="inherit_header pub_methods_classarm__compute_1_1misc_1_1_i_cloneable"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1misc_1_1_i_cloneable')"><img src="closed.png" alt="-"/>&#160;Public Member Functions inherited from <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml">ICloneable&lt; ITensorInfo &gt;</a></td></tr>
 302 <tr class="memitem:a711fa7a27557369760fc1fd236deb51c inherit pub_methods_classarm__compute_1_1misc_1_1_i_cloneable"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a711fa7a27557369760fc1fd236deb51c">~ICloneable</a> ()=default</td></tr>
 303 <tr class="memdesc:a711fa7a27557369760fc1fd236deb51c inherit pub_methods_classarm__compute_1_1misc_1_1_i_cloneable"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default virtual desctructor.  <a href="#a711fa7a27557369760fc1fd236deb51c">More...</a><br /></td></tr>
 304 <tr class="separator:a711fa7a27557369760fc1fd236deb51c inherit pub_methods_classarm__compute_1_1misc_1_1_i_cloneable"><td class="memSeparator" colspan="2">&#160;</td></tr>
 305 </table><table class="memberdecls">
 306 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
 307 Additional Inherited Members</h2></td></tr>
 308 <tr class="inherit_header pub_static_methods_classarm__compute_1_1_i_tensor_info"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarm__compute_1_1_i_tensor_info')"><img src="closed.png" alt="-"/>&#160;Static Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a></td></tr>
 309 <tr class="memitem:abb92caa923c8ff80bfdf1b408ef49185 inherit pub_static_methods_classarm__compute_1_1_i_tensor_info"><td class="memTemplParams" colspan="2">template&lt;typename... Infos&gt; </td></tr>
 310 <tr class="memitem:abb92caa923c8ff80bfdf1b408ef49185 inherit pub_static_methods_classarm__compute_1_1_i_tensor_info"><td class="memTemplItemLeft" align="right" valign="top">static std::pair&lt; <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185">broadcast_shape_and_valid_region</a> (const Infos &amp;...infos)</td></tr>
 311 <tr class="memdesc:abb92caa923c8ff80bfdf1b408ef49185 inherit pub_static_methods_classarm__compute_1_1_i_tensor_info"><td class="mdescLeft">&#160;</td><td class="mdescRight">If infos are broadcast compatible tensor info's, return the broadcasted shape and the intersection of the broadcasted valid regions of the tensors.  <a href="#abb92caa923c8ff80bfdf1b408ef49185">More...</a><br /></td></tr>
 312 <tr class="separator:abb92caa923c8ff80bfdf1b408ef49185 inherit pub_static_methods_classarm__compute_1_1_i_tensor_info"><td class="memSeparator" colspan="2">&#160;</td></tr>
 313 </table>
 314 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 315 <div class="textblock"><p>Store the tensor's metadata. </p>
 316
 317 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00044">44</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 318 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 319 <a class="anchor" id="a21c2ae9fa438faf42669dadda628080c"></a>
 320 <div class="memitem">
 321 <div class="memproto">
 322       <table class="memname">
 323         <tr>
 324           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 325           <td>(</td>
 326           <td class="paramname"></td><td>)</td>
 327           <td></td>
 328         </tr>
 329       </table>
 330 </div><div class="memdoc">
 331
 332 <p>Default constructor. </p>
 333
 334 </div>
 335 </div>
 336 <a class="anchor" id="a4eb5913c3ce5fe2bcbaafd8c9224d384"></a>
 337 <div class="memitem">
 338 <div class="memproto">
 339 <table class="mlabels">
 340   <tr>
 341   <td class="mlabels-left">
 342       <table class="memname">
 343         <tr>
 344           <td class="memname">~<a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 345           <td>(</td>
 346           <td class="paramname"></td><td>)</td>
 347           <td></td>
 348         </tr>
 349       </table>
 350   </td>
 351   <td class="mlabels-right">
 352 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 353   </tr>
 354 </table>
 355 </div><div class="memdoc">
 356
 357 <p>Default destructor. </p>
 358
 359 </div>
 360 </div>
 361 <a class="anchor" id="a57911f186d22f552382d39010c09097d"></a>
 362 <div class="memitem">
 363 <div class="memproto">
 364       <table class="memname">
 365         <tr>
 366           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 367           <td>(</td>
 368           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &amp;&#160;</td>
 369           <td class="paramname"><em>info</em></td><td>)</td>
 370           <td></td>
 371         </tr>
 372       </table>
 373 </div><div class="memdoc">
 374
 375 <p>Allow instances of this class to be copy constructed. </p>
 376
 377 </div>
 378 </div>
 379 <a class="anchor" id="a494e9aa78ff5dde1788e0f9a8ba2213a"></a>
 380 <div class="memitem">
 381 <div class="memproto">
 382 <table class="mlabels">
 383   <tr>
 384   <td class="mlabels-left">
 385       <table class="memname">
 386         <tr>
 387           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 388           <td>(</td>
 389           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td>
 390           <td class="paramname"></td><td>)</td>
 391           <td></td>
 392         </tr>
 393       </table>
 394   </td>
 395   <td class="mlabels-right">
 396 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 397   </tr>
 398 </table>
 399 </div><div class="memdoc">
 400
 401 <p>Allow instances of this class to be copy constructed. </p>
 402
 403 </div>
 404 </div>
 405 <a class="anchor" id="a134dfebc14c0e971f8df850846764f8e"></a>
 406 <div class="memitem">
 407 <div class="memproto">
 408 <table class="mlabels">
 409   <tr>
 410   <td class="mlabels-left">
 411       <table class="memname">
 412         <tr>
 413           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 414           <td>(</td>
 415           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&amp;&#160;</td>
 416           <td class="paramname"></td><td>)</td>
 417           <td></td>
 418         </tr>
 419       </table>
 420   </td>
 421   <td class="mlabels-right">
 422 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 423   </tr>
 424 </table>
 425 </div><div class="memdoc">
 426
 427 <p>Allow instances of this class to be move constructed. </p>
 428
 429 </div>
 430 </div>
 431 <a class="anchor" id="a6762d60a00d7d09087ea5cb41d4392a8"></a>
 432 <div class="memitem">
 433 <div class="memproto">
 434       <table class="memname">
 435         <tr>
 436           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 437           <td>(</td>
 438           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
 439           <td class="paramname"><em>format</em></td><td>)</td>
 440           <td></td>
 441         </tr>
 442       </table>
 443 </div><div class="memdoc">
 444
 445 <p>Construct a tensor info with a format. </p>
 446 <p>Can be used for automatic derivation of the shape by the function.</p>
 447 <dl class="params"><dt>Parameters</dt><dd>
 448   <table class="params">
 449     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Format of the tensor. </td></tr>
 450   </table>
 451   </dd>
 452 </dl>
 453
 454 </div>
 455 </div>
 456 <a class="anchor" id="ac307dc31ce68e3cf1273ffbc86e57646"></a>
 457 <div class="memitem">
 458 <div class="memproto">
 459       <table class="memname">
 460         <tr>
 461           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 462           <td>(</td>
 463           <td class="paramtype">unsigned int&#160;</td>
 464           <td class="paramname"><em>width</em>, </td>
 465         </tr>
 466         <tr>
 467           <td class="paramkey"></td>
 468           <td></td>
 469           <td class="paramtype">unsigned int&#160;</td>
 470           <td class="paramname"><em>height</em>, </td>
 471         </tr>
 472         <tr>
 473           <td class="paramkey"></td>
 474           <td></td>
 475           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
 476           <td class="paramname"><em>format</em>&#160;</td>
 477         </tr>
 478         <tr>
 479           <td></td>
 480           <td>)</td>
 481           <td></td><td></td>
 482         </tr>
 483       </table>
 484 </div><div class="memdoc">
 485
 486 <p>2D tensor constructor </p>
 487 <dl class="params"><dt>Parameters</dt><dd>
 488   <table class="params">
 489     <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor </td></tr>
 490     <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor </td></tr>
 491     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
 492   </table>
 493   </dd>
 494 </dl>
 495
 496 </div>
 497 </div>
 498 <a class="anchor" id="a9fa5acc4d8fd911b9b2fece99d3d5a8d"></a>
 499 <div class="memitem">
 500 <div class="memproto">
 501       <table class="memname">
 502         <tr>
 503           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 504           <td>(</td>
 505           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 506           <td class="paramname"><em>tensor_shape</em>, </td>
 507         </tr>
 508         <tr>
 509           <td class="paramkey"></td>
 510           <td></td>
 511           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
 512           <td class="paramname"><em>format</em>&#160;</td>
 513         </tr>
 514         <tr>
 515           <td></td>
 516           <td>)</td>
 517           <td></td><td></td>
 518         </tr>
 519       </table>
 520 </div><div class="memdoc">
 521
 522 <p>Constructor. </p>
 523 <dl class="params"><dt>Parameters</dt><dd>
 524   <table class="params">
 525     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements. </td></tr>
 526     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
 527   </table>
 528   </dd>
 529 </dl>
 530
 531 </div>
 532 </div>
 533 <a class="anchor" id="a548b5b5c72f04c581933670098a1050f"></a>
 534 <div class="memitem">
 535 <div class="memproto">
 536       <table class="memname">
 537         <tr>
 538           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 539           <td>(</td>
 540           <td class="paramtype">size_t&#160;</td>
 541           <td class="paramname"><em>num_channels</em>, </td>
 542         </tr>
 543         <tr>
 544           <td class="paramkey"></td>
 545           <td></td>
 546           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 547           <td class="paramname"><em>data_type</em>, </td>
 548         </tr>
 549         <tr>
 550           <td class="paramkey"></td>
 551           <td></td>
 552           <td class="paramtype">size_t&#160;</td>
 553           <td class="paramname"><em>fixed_point_position</em> = <code>0</code>&#160;</td>
 554         </tr>
 555         <tr>
 556           <td></td>
 557           <td>)</td>
 558           <td></td><td></td>
 559         </tr>
 560       </table>
 561 </div><div class="memdoc">
 562
 563 <p>Construct a tensor info with a data type and number of channels. </p>
 564 <p>Can be used for automatic derivation of the shape by the function.</p>
 565 <dl class="params"><dt>Parameters</dt><dd>
 566   <table class="params">
 567     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>It indicates the number of channels for each tensor element </td></tr>
 568     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
 569     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) It specifies the fixed point position when the tensor data type is QS8, QS16 or QS32. </td></tr>
 570   </table>
 571   </dd>
 572 </dl>
 573
 574 </div>
 575 </div>
 576 <a class="anchor" id="a95aaadcca549fc310c8e6dddb2ab78d7"></a>
 577 <div class="memitem">
 578 <div class="memproto">
 579       <table class="memname">
 580         <tr>
 581           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 582           <td>(</td>
 583           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 584           <td class="paramname"><em>tensor_shape</em>, </td>
 585         </tr>
 586         <tr>
 587           <td class="paramkey"></td>
 588           <td></td>
 589           <td class="paramtype">size_t&#160;</td>
 590           <td class="paramname"><em>num_channels</em>, </td>
 591         </tr>
 592         <tr>
 593           <td class="paramkey"></td>
 594           <td></td>
 595           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 596           <td class="paramname"><em>data_type</em>, </td>
 597         </tr>
 598         <tr>
 599           <td class="paramkey"></td>
 600           <td></td>
 601           <td class="paramtype">int&#160;</td>
 602           <td class="paramname"><em>fixed_point_position</em> = <code>0</code>&#160;</td>
 603         </tr>
 604         <tr>
 605           <td></td>
 606           <td>)</td>
 607           <td></td><td></td>
 608         </tr>
 609       </table>
 610 </div><div class="memdoc">
 611
 612 <p>Constructor. </p>
 613 <dl class="params"><dt>Parameters</dt><dd>
 614   <table class="params">
 615     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements. </td></tr>
 616     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>It indicates the number of channels for each tensor element </td></tr>
 617     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
 618     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16. </td></tr>
 619   </table>
 620   </dd>
 621 </dl>
 622
 623 </div>
 624 </div>
 625 <a class="anchor" id="a3017dc3990baec97aa09599b82c63b1b"></a>
 626 <div class="memitem">
 627 <div class="memproto">
 628       <table class="memname">
 629         <tr>
 630           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 631           <td>(</td>
 632           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 633           <td class="paramname"><em>tensor_shape</em>, </td>
 634         </tr>
 635         <tr>
 636           <td class="paramkey"></td>
 637           <td></td>
 638           <td class="paramtype">size_t&#160;</td>
 639           <td class="paramname"><em>num_channels</em>, </td>
 640         </tr>
 641         <tr>
 642           <td class="paramkey"></td>
 643           <td></td>
 644           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 645           <td class="paramname"><em>data_type</em>, </td>
 646         </tr>
 647         <tr>
 648           <td class="paramkey"></td>
 649           <td></td>
 650           <td class="paramtype"><a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a>&#160;</td>
 651           <td class="paramname"><em>quantization_info</em>&#160;</td>
 652         </tr>
 653         <tr>
 654           <td></td>
 655           <td>)</td>
 656           <td></td><td></td>
 657         </tr>
 658       </table>
 659 </div><div class="memdoc">
 660
 661 <p>Constructor. </p>
 662 <dl class="params"><dt>Parameters</dt><dd>
 663   <table class="params">
 664     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements. </td></tr>
 665     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>It indicates the number of channels for each tensor element </td></tr>
 666     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
 667     <tr><td class="paramdir">[in]</td><td class="paramname">quantization_info</td><td>The quantization settings for the tensor data. </td></tr>
 668   </table>
 669   </dd>
 670 </dl>
 671
 672 </div>
 673 </div>
 674 <a class="anchor" id="ad3e249a7d8f329aa470d6903c9e415fe"></a>
 675 <div class="memitem">
 676 <div class="memproto">
 677       <table class="memname">
 678         <tr>
 679           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 680           <td>(</td>
 681           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;&#160;</td>
 682           <td class="paramname"><em>hog_info</em>, </td>
 683         </tr>
 684         <tr>
 685           <td class="paramkey"></td>
 686           <td></td>
 687           <td class="paramtype">unsigned int&#160;</td>
 688           <td class="paramname"><em>width</em>, </td>
 689         </tr>
 690         <tr>
 691           <td class="paramkey"></td>
 692           <td></td>
 693           <td class="paramtype">unsigned int&#160;</td>
 694           <td class="paramname"><em>height</em>&#160;</td>
 695         </tr>
 696         <tr>
 697           <td></td>
 698           <td>)</td>
 699           <td></td><td></td>
 700         </tr>
 701       </table>
 702 </div><div class="memdoc">
 703
 704 <p>Constructor. </p>
 705 <dl class="params"><dt>Parameters</dt><dd>
 706   <table class="params">
 707     <tr><td class="paramdir">[in]</td><td class="paramname">hog_info</td><td><a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata used to allocate normalized <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> space </td></tr>
 708     <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
 709     <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
 710   </table>
 711   </dd>
 712 </dl>
 713
 714 </div>
 715 </div>
 716 <h2 class="groupheader">Member Function Documentation</h2>
 717 <a class="anchor" id="a907f837b924945ad1981c8fe8eca61e4"></a>
 718 <div class="memitem">
 719 <div class="memproto">
 720 <table class="mlabels">
 721   <tr>
 722   <td class="mlabels-left">
 723       <table class="memname">
 724         <tr>
 725           <td class="memname">bool auto_padding </td>
 726           <td>(</td>
 727           <td class="paramname"></td><td>)</td>
 728           <td></td>
 729         </tr>
 730       </table>
 731   </td>
 732   <td class="mlabels-right">
 733 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 734   </tr>
 735 </table>
 736 </div><div class="memdoc">
 737
 738 <p>Update the offset to the first element and the strides to automatically computed values. </p>
 739 <dl class="section note"><dt>Note</dt><dd>The padding used by this method is really conservative so that the tensor can be used for most functions.</dd></dl>
 740 <dl class="section return"><dt>Returns</dt><dd>True if the strides or the offset to the first element have changed. </dd></dl>
 741
 742 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a>.</p>
 743
 744 </div>
 745 </div>
 746 <a class="anchor" id="a4c066d42d665fafb8cfe80b99411e4fb"></a>
 747 <div class="memitem">
 748 <div class="memproto">
 749 <table class="mlabels">
 750   <tr>
 751   <td class="mlabels-left">
 752       <table class="memname">
 753         <tr>
 754           <td class="memname">std::unique_ptr&lt;<a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&gt; clone </td>
 755           <td>(</td>
 756           <td class="paramname"></td><td>)</td>
 757           <td> const</td>
 758         </tr>
 759       </table>
 760   </td>
 761   <td class="mlabels-right">
 762 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 763   </tr>
 764 </table>
 765 </div><div class="memdoc">
 766
 767 <p>Provide a clone of the current object of class T. </p>
 768 <dl class="section return"><dt>Returns</dt><dd>Clone object of class T </dd></dl>
 769
 770 <p>Implements <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable&lt; ITensorInfo &gt;</a>.</p>
 771
 772 <p>Referenced by <a class="el" href="_tensor_info_8cpp_source.xhtml#l00087">arm_compute::test::validation::TEST_CASE()</a>.</p>
 773
 774 </div>
 775 </div>
 776 <a class="anchor" id="a9a3e72153aeb3ed212e9c3698774e881"></a>
 777 <div class="memitem">
 778 <div class="memproto">
 779 <table class="mlabels">
 780   <tr>
 781   <td class="mlabels-left">
 782       <table class="memname">
 783         <tr>
 784           <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type </td>
 785           <td>(</td>
 786           <td class="paramname"></td><td>)</td>
 787           <td> const</td>
 788         </tr>
 789       </table>
 790   </td>
 791   <td class="mlabels-right">
 792 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 793   </tr>
 794 </table>
 795 </div><div class="memdoc">
 796
 797 <p>Data type used for each element of the tensor. </p>
 798 <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> data type </dd></dl>
 799
 800 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo</a>.</p>
 801
 802 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00259">259</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 803
 804 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00105">CLAccessor::data_type()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00103">GCAccessor::data_type()</a>, <a class="el" href="_tensor_info_8cpp_source.xhtml#l00087">arm_compute::test::validation::TEST_CASE()</a>, and <a class="el" href="_type_printer_8h_source.xhtml#l00605">arm_compute::to_string()</a>.</p>
 805 <div class="fragment"><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;    {</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;        <span class="keywordflow">return</span> _data_type;</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;    }</div></div><!-- fragment -->
 806 </div>
 807 </div>
 808 <a class="anchor" id="a8813441b655b97c00139c6a5a6390e97"></a>
 809 <div class="memitem">
 810 <div class="memproto">
 811 <table class="mlabels">
 812   <tr>
 813   <td class="mlabels-left">
 814       <table class="memname">
 815         <tr>
 816           <td class="memname">size_t dimension </td>
 817           <td>(</td>
 818           <td class="paramtype">size_t&#160;</td>
 819           <td class="paramname"><em>index</em></td><td>)</td>
 820           <td> const</td>
 821         </tr>
 822       </table>
 823   </td>
 824   <td class="mlabels-right">
 825 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 826   </tr>
 827 </table>
 828 </div><div class="memdoc">
 829
 830 <p>Return the size of the requested dimension. </p>
 831 <dl class="params"><dt>Parameters</dt><dd>
 832   <table class="params">
 833     <tr><td class="paramdir">[in]</td><td class="paramname">index</td><td>Index of the dimension</td></tr>
 834   </table>
 835   </dd>
 836 </dl>
 837 <dl class="section return"><dt>Returns</dt><dd>Dimension of the requested dimension </dd></dl>
 838
 839 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo</a>.</p>
 840
 841 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00226">226</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 842 <div class="fragment"><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;    {</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;        <span class="keywordflow">return</span> _tensor_shape[index];</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;    }</div></div><!-- fragment -->
 843 </div>
 844 </div>
 845 <a class="anchor" id="a62b67b578f684c4d516843c9dea86a23"></a>
 846 <div class="memitem">
 847 <div class="memproto">
 848 <table class="mlabels">
 849   <tr>
 850   <td class="mlabels-left">
 851       <table class="memname">
 852         <tr>
 853           <td class="memname">size_t element_size </td>
 854           <td>(</td>
 855           <td class="paramname"></td><td>)</td>
 856           <td> const</td>
 857         </tr>
 858       </table>
 859   </td>
 860   <td class="mlabels-right">
 861 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 862   </tr>
 863 </table>
 864 </div><div class="memdoc">
 865
 866 <p>Element size in bytes calculated as data_size() * <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c" title="The number of channels for each tensor element. ">num_channels()</a> </p>
 867 <dl class="section return"><dt>Returns</dt><dd>The size of one element in bytes </dd></dl>
 868
 869 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">ITensorInfo</a>.</p>
 870
 871 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00243">243</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 872
 873 <p>References <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l00089">arm_compute::data_size_from_type()</a>.</p>
 874
 875 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00090">CLAccessor::element_size()</a>, and <a class="el" href="_g_c_accessor_8h_source.xhtml#l00088">GCAccessor::element_size()</a>.</p>
 876 <div class="fragment"><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;    {</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">data_size_from_type</a>(_data_type) * _num_channels;</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;    }</div><div class="ttc" id="namespacearm__compute_xhtml_abb7e0f23a4f2e63f39433f158dad47ab"><div class="ttname"><a href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">arm_compute::data_size_from_type</a></div><div class="ttdeci">size_t data_size_from_type(DataType data_type)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00089">Utils.h:89</a></div></div>
 877 </div><!-- fragment -->
 878 </div>
 879 </div>
 880 <a class="anchor" id="af53d8203ecc37896ca4579d1ee3fdffc"></a>
 881 <div class="memitem">
 882 <div class="memproto">
 883 <table class="mlabels">
 884   <tr>
 885   <td class="mlabels-left">
 886       <table class="memname">
 887         <tr>
 888           <td class="memname">bool extend_padding </td>
 889           <td>(</td>
 890           <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> &amp;&#160;</td>
 891           <td class="paramname"><em>padding</em></td><td>)</td>
 892           <td></td>
 893         </tr>
 894       </table>
 895   </td>
 896   <td class="mlabels-right">
 897 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 898   </tr>
 899 </table>
 900 </div><div class="memdoc">
 901
 902 <p>Update the offset to the first element, the strides and the total size. </p>
 903 <dl class="section note"><dt>Note</dt><dd>This function can only increase the offset, strides and total size.</dd></dl>
 904 <dl class="params"><dt>Parameters</dt><dd>
 905   <table class="params">
 906     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>Padding around the XY plane in number of elements.</td></tr>
 907   </table>
 908   </dd>
 909 </dl>
 910 <dl class="section return"><dt>Returns</dt><dd>True if the strides, offset and total size have changed. </dd></dl>
 911
 912 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a0cd5aea514f03afb48ebe22581ea4c66">ITensorInfo</a>.</p>
 913
 914 <p>Referenced by <a class="el" href="_c_l_2_fill_border_8cpp_source.xhtml#l00052">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
 915
 916 </div>
 917 </div>
 918 <a class="anchor" id="a35ccf2eb0c18a15feab2db98b307b78b"></a>
 919 <div class="memitem">
 920 <div class="memproto">
 921 <table class="mlabels">
 922   <tr>
 923   <td class="mlabels-left">
 924       <table class="memname">
 925         <tr>
 926           <td class="memname">int fixed_point_position </td>
 927           <td>(</td>
 928           <td class="paramname"></td><td>)</td>
 929           <td> const</td>
 930         </tr>
 931       </table>
 932   </td>
 933   <td class="mlabels-right">
 934 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 935   </tr>
 936 </table>
 937 </div><div class="memdoc">
 938
 939 <p>Fixed point position used when the tensor data type is QS8 or QS16. </p>
 940 <dl class="section return"><dt>Returns</dt><dd>The fixed point position that expresses the number of bits for the fractional part of the number </dd></dl>
 941
 942 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">ITensorInfo</a>.</p>
 943
 944 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00239">239</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 945
 946 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00125">CLAccessor::fixed_point_position()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00123">GCAccessor::fixed_point_position()</a>, <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>, and <a class="el" href="_type_printer_8h_source.xhtml#l00605">arm_compute::to_string()</a>.</p>
 947 <div class="fragment"><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    {</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        <span class="keywordflow">return</span> _fixed_point_position;</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    }</div></div><!-- fragment -->
 948 </div>
 949 </div>
 950 <a class="anchor" id="ac4b36cc1e56b0b7e579bb4b7196490db"></a>
 951 <div class="memitem">
 952 <div class="memproto">
 953 <table class="mlabels">
 954   <tr>
 955   <td class="mlabels-left">
 956       <table class="memname">
 957         <tr>
 958           <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format </td>
 959           <td>(</td>
 960           <td class="paramname"></td><td>)</td>
 961           <td> const</td>
 962         </tr>
 963       </table>
 964   </td>
 965   <td class="mlabels-right">
 966 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 967   </tr>
 968 </table>
 969 </div><div class="memdoc">
 970
 971 <p>Colour format of the image. </p>
 972 <dl class="section return"><dt>Returns</dt><dd>Colour format of the image </dd></dl>
 973
 974 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">ITensorInfo</a>.</p>
 975
 976 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00263">263</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 977
 978 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00100">CLAccessor::format()</a>, and <a class="el" href="_g_c_accessor_8h_source.xhtml#l00098">GCAccessor::format()</a>.</p>
 979 <div class="fragment"><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    {</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        <span class="keywordflow">return</span> _format;</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    }</div></div><!-- fragment -->
 980 </div>
 981 </div>
 982 <a class="anchor" id="aa2ca251f99c56767719e991a26371603"></a>
 983 <div class="memitem">
 984 <div class="memproto">
 985 <table class="mlabels">
 986   <tr>
 987   <td class="mlabels-left">
 988       <table class="memname">
 989         <tr>
 990           <td class="memname">bool has_padding </td>
 991           <td>(</td>
 992           <td class="paramname"></td><td>)</td>
 993           <td> const</td>
 994         </tr>
 995       </table>
 996   </td>
 997   <td class="mlabels-right">
 998 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
 999   </tr>
1000 </table>
1001 </div><div class="memdoc">
1002
1003 <p>Checks if the tensor has been allocated with padding or not. </p>
1004 <dl class="section return"><dt>Returns</dt><dd>True if padding is allocated in the tensor, otherwise false. </dd></dl>
1005
1006 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">ITensorInfo</a>.</p>
1007
1008 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00275">275</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1009
1010 <p>References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00256">BorderSize::empty()</a>.</p>
1011 <div class="fragment"><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;    {</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;        <span class="keywordflow">return</span> !_padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">empty</a>();</div><div class="line"><a name="l00278"></a><span class="lineno">  278</span>&#160;    }</div><div class="ttc" id="structarm__compute_1_1_border_size_xhtml_adffbf97e7b8b64e7cf32f0254cddf3c4"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">arm_compute::BorderSize::empty</a></div><div class="ttdeci">constexpr bool empty() const </div><div class="ttdoc">Check if the entire border is zero. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00256">Types.h:256</a></div></div>
1012 </div><!-- fragment -->
1013 </div>
1014 </div>
1015 <a class="anchor" id="ad6b64f33be1e66dcf7612483ffb8fd63"></a>
1016 <div class="memitem">
1017 <div class="memproto">
1018       <table class="memname">
1019         <tr>
1020           <td class="memname">void init </td>
1021           <td>(</td>
1022           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
1023           <td class="paramname"><em>format</em></td><td>)</td>
1024           <td></td>
1025         </tr>
1026       </table>
1027 </div><div class="memdoc">
1028
1029 <p>Initialize the tensor info with just a format. </p>
1030 <p>Can be used for automatic derivation of the shape by the function.</p>
1031 <dl class="params"><dt>Parameters</dt><dd>
1032   <table class="params">
1033     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
1034   </table>
1035   </dd>
1036 </dl>
1037
1038 </div>
1039 </div>
1040 <a class="anchor" id="a0ae7d318c02e56a3daa9e5e4f9dab117"></a>
1041 <div class="memitem">
1042 <div class="memproto">
1043       <table class="memname">
1044         <tr>
1045           <td class="memname">void init </td>
1046           <td>(</td>
1047           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
1048           <td class="paramname"><em>tensor_shape</em>, </td>
1049         </tr>
1050         <tr>
1051           <td class="paramkey"></td>
1052           <td></td>
1053           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
1054           <td class="paramname"><em>format</em>&#160;</td>
1055         </tr>
1056         <tr>
1057           <td></td>
1058           <td>)</td>
1059           <td></td><td></td>
1060         </tr>
1061       </table>
1062 </div><div class="memdoc">
1063
1064 <p>Initialize the metadata structure with the given parameters. </p>
1065 <dl class="params"><dt>Parameters</dt><dd>
1066   <table class="params">
1067     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>Size for each dimension of the tensor in number of elements. </td></tr>
1068     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
1069   </table>
1070   </dd>
1071 </dl>
1072
1073 </div>
1074 </div>
1075 <a class="anchor" id="ad4b6171ddcf854de5d1226cd4d0b0439"></a>
1076 <div class="memitem">
1077 <div class="memproto">
1078       <table class="memname">
1079         <tr>
1080           <td class="memname">void init </td>
1081           <td>(</td>
1082           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
1083           <td class="paramname"><em>tensor_shape</em>, </td>
1084         </tr>
1085         <tr>
1086           <td class="paramkey"></td>
1087           <td></td>
1088           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
1089           <td class="paramname"><em>format</em>, </td>
1090         </tr>
1091         <tr>
1092           <td class="paramkey"></td>
1093           <td></td>
1094           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;&#160;</td>
1095           <td class="paramname"><em>strides_in_bytes</em>, </td>
1096         </tr>
1097         <tr>
1098           <td class="paramkey"></td>
1099           <td></td>
1100           <td class="paramtype">size_t&#160;</td>
1101           <td class="paramname"><em>offset_first_element_in_bytes</em>, </td>
1102         </tr>
1103         <tr>
1104           <td class="paramkey"></td>
1105           <td></td>
1106           <td class="paramtype">size_t&#160;</td>
1107           <td class="paramname"><em>total_size_in_bytes</em>&#160;</td>
1108         </tr>
1109         <tr>
1110           <td></td>
1111           <td>)</td>
1112           <td></td><td></td>
1113         </tr>
1114       </table>
1115 </div><div class="memdoc">
1116
1117 <p>Initialize the metadata structure with the given parameters. </p>
1118 <dl class="params"><dt>Parameters</dt><dd>
1119   <table class="params">
1120     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>Size for each dimension of the tensor in number of elements. </td></tr>
1121     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
1122     <tr><td class="paramdir">[in]</td><td class="paramname">strides_in_bytes</td><td>Stride in bytes for accessing each dimension of the tensor. </td></tr>
1123     <tr><td class="paramdir">[in]</td><td class="paramname">offset_first_element_in_bytes</td><td>Offset in bytes from the beginning of memory allocation to access the first element. </td></tr>
1124     <tr><td class="paramdir">[in]</td><td class="paramname">total_size_in_bytes</td><td>Size in bytes of the memory allocation (including the offset to the first element). </td></tr>
1125   </table>
1126   </dd>
1127 </dl>
1128
1129 </div>
1130 </div>
1131 <a class="anchor" id="aa4d75a4cba474685a8a6fa2ea97b2505"></a>
1132 <div class="memitem">
1133 <div class="memproto">
1134       <table class="memname">
1135         <tr>
1136           <td class="memname">void init </td>
1137           <td>(</td>
1138           <td class="paramtype">size_t&#160;</td>
1139           <td class="paramname"><em>num_channels</em>, </td>
1140         </tr>
1141         <tr>
1142           <td class="paramkey"></td>
1143           <td></td>
1144           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
1145           <td class="paramname"><em>data_type</em>, </td>
1146         </tr>
1147         <tr>
1148           <td class="paramkey"></td>
1149           <td></td>
1150           <td class="paramtype">size_t&#160;</td>
1151           <td class="paramname"><em>fixed_point_position</em> = <code>0</code>&#160;</td>
1152         </tr>
1153         <tr>
1154           <td></td>
1155           <td>)</td>
1156           <td></td><td></td>
1157         </tr>
1158       </table>
1159 </div><div class="memdoc">
1160
1161 <p>Initialize the tensor info with just a format. </p>
1162 <p>Can be used for automatic derivation of the shape by the function.</p>
1163 <dl class="params"><dt>Parameters</dt><dd>
1164   <table class="params">
1165     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr>
1166     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr>
1167     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position when the tensor data type is QS8, QS16 or QS32. </td></tr>
1168   </table>
1169   </dd>
1170 </dl>
1171
1172 </div>
1173 </div>
1174 <a class="anchor" id="ad535a8a10fae9fca925ae45c7931b9d6"></a>
1175 <div class="memitem">
1176 <div class="memproto">
1177       <table class="memname">
1178         <tr>
1179           <td class="memname">void init </td>
1180           <td>(</td>
1181           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
1182           <td class="paramname"><em>tensor_shape</em>, </td>
1183         </tr>
1184         <tr>
1185           <td class="paramkey"></td>
1186           <td></td>
1187           <td class="paramtype">size_t&#160;</td>
1188           <td class="paramname"><em>num_channels</em>, </td>
1189         </tr>
1190         <tr>
1191           <td class="paramkey"></td>
1192           <td></td>
1193           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
1194           <td class="paramname"><em>data_type</em>, </td>
1195         </tr>
1196         <tr>
1197           <td class="paramkey"></td>
1198           <td></td>
1199           <td class="paramtype">int&#160;</td>
1200           <td class="paramname"><em>fixed_point_position</em> = <code>0</code>&#160;</td>
1201         </tr>
1202         <tr>
1203           <td></td>
1204           <td>)</td>
1205           <td></td><td></td>
1206         </tr>
1207       </table>
1208 </div><div class="memdoc">
1209
1210 <p>Initialize the metadata structure with the given parameters. </p>
1211 <dl class="params"><dt>Parameters</dt><dd>
1212   <table class="params">
1213     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>Size for each dimension of the tensor in number of elements. </td></tr>
1214     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr>
1215     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr>
1216     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16. </td></tr>
1217   </table>
1218   </dd>
1219 </dl>
1220
1221 </div>
1222 </div>
1223 <a class="anchor" id="ab12220b6863064c5dd4742fd0f3f0080"></a>
1224 <div class="memitem">
1225 <div class="memproto">
1226       <table class="memname">
1227         <tr>
1228           <td class="memname">void init </td>
1229           <td>(</td>
1230           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
1231           <td class="paramname"><em>tensor_shape</em>, </td>
1232         </tr>
1233         <tr>
1234           <td class="paramkey"></td>
1235           <td></td>
1236           <td class="paramtype">size_t&#160;</td>
1237           <td class="paramname"><em>num_channels</em>, </td>
1238         </tr>
1239         <tr>
1240           <td class="paramkey"></td>
1241           <td></td>
1242           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
1243           <td class="paramname"><em>data_type</em>, </td>
1244         </tr>
1245         <tr>
1246           <td class="paramkey"></td>
1247           <td></td>
1248           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;&#160;</td>
1249           <td class="paramname"><em>strides_in_bytes</em>, </td>
1250         </tr>
1251         <tr>
1252           <td class="paramkey"></td>
1253           <td></td>
1254           <td class="paramtype">size_t&#160;</td>
1255           <td class="paramname"><em>offset_first_element_in_bytes</em>, </td>
1256         </tr>
1257         <tr>
1258           <td class="paramkey"></td>
1259           <td></td>
1260           <td class="paramtype">size_t&#160;</td>
1261           <td class="paramname"><em>total_size_in_bytes</em>, </td>
1262         </tr>
1263         <tr>
1264           <td class="paramkey"></td>
1265           <td></td>
1266           <td class="paramtype">int&#160;</td>
1267           <td class="paramname"><em>fixed_point_position</em> = <code>0</code>&#160;</td>
1268         </tr>
1269         <tr>
1270           <td></td>
1271           <td>)</td>
1272           <td></td><td></td>
1273         </tr>
1274       </table>
1275 </div><div class="memdoc">
1276
1277 <p>Initialize the metadata structure with the given parameters. </p>
1278 <dl class="params"><dt>Parameters</dt><dd>
1279   <table class="params">
1280     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>Size for each dimension of the tensor in number of elements. </td></tr>
1281     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr>
1282     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr>
1283     <tr><td class="paramdir">[in]</td><td class="paramname">strides_in_bytes</td><td>Stride in bytes for accessing each dimension of the tensor. </td></tr>
1284     <tr><td class="paramdir">[in]</td><td class="paramname">offset_first_element_in_bytes</td><td>Offset in bytes from the beginning of memory allocation to access the first element. </td></tr>
1285     <tr><td class="paramdir">[in]</td><td class="paramname">total_size_in_bytes</td><td>Size in bytes of the memory allocation (including the offset to the first element). </td></tr>
1286     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16. </td></tr>
1287   </table>
1288   </dd>
1289 </dl>
1290
1291 </div>
1292 </div>
1293 <a class="anchor" id="a4eaa68a1707f4ff3983c6dddd21794ea"></a>
1294 <div class="memitem">
1295 <div class="memproto">
1296       <table class="memname">
1297         <tr>
1298           <td class="memname">void init </td>
1299           <td>(</td>
1300           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;&#160;</td>
1301           <td class="paramname"><em>hog_info</em>, </td>
1302         </tr>
1303         <tr>
1304           <td class="paramkey"></td>
1305           <td></td>
1306           <td class="paramtype">unsigned int&#160;</td>
1307           <td class="paramname"><em>width</em>, </td>
1308         </tr>
1309         <tr>
1310           <td class="paramkey"></td>
1311           <td></td>
1312           <td class="paramtype">unsigned int&#160;</td>
1313           <td class="paramname"><em>height</em>&#160;</td>
1314         </tr>
1315         <tr>
1316           <td></td>
1317           <td>)</td>
1318           <td></td><td></td>
1319         </tr>
1320       </table>
1321 </div><div class="memdoc">
1322
1323 <p>Initialize the metadata structure for the given <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata. </p>
1324 <dl class="params"><dt>Parameters</dt><dd>
1325   <table class="params">
1326     <tr><td class="paramdir">[in]</td><td class="paramname">hog_info</td><td><a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata used to allocate normalized <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> space </td></tr>
1327     <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
1328     <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
1329   </table>
1330   </dd>
1331 </dl>
1332
1333 </div>
1334 </div>
1335 <a class="anchor" id="a4b7391b7025befbe44b743723feb4a9b"></a>
1336 <div class="memitem">
1337 <div class="memproto">
1338       <table class="memname">
1339         <tr>
1340           <td class="memname">size_t init_auto_padding </td>
1341           <td>(</td>
1342           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
1343           <td class="paramname"><em>tensor_shape</em>, </td>
1344         </tr>
1345         <tr>
1346           <td class="paramkey"></td>
1347           <td></td>
1348           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
1349           <td class="paramname"><em>format</em>&#160;</td>
1350         </tr>
1351         <tr>
1352           <td></td>
1353           <td>)</td>
1354           <td></td><td></td>
1355         </tr>
1356       </table>
1357 </div><div class="memdoc">
1358
1359 <p>Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated) </p>
1360 <dl class="section note"><dt>Note</dt><dd>The padding used by this method is really conservative so that the tensor can be used for most functions.</dd></dl>
1361 <dl class="params"><dt>Parameters</dt><dd>
1362   <table class="params">
1363     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements </td></tr>
1364     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the image.</td></tr>
1365   </table>
1366   </dd>
1367 </dl>
1368 <dl class="section return"><dt>Returns</dt><dd>Total allocation size including padding in bytes. </dd></dl>
1369
1370 </div>
1371 </div>
1372 <a class="anchor" id="a316bb82020031b46ad452a7ad0d4b461"></a>
1373 <div class="memitem">
1374 <div class="memproto">
1375       <table class="memname">
1376         <tr>
1377           <td class="memname">size_t init_auto_padding </td>
1378           <td>(</td>
1379           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
1380           <td class="paramname"><em>tensor_shape</em>, </td>
1381         </tr>
1382         <tr>
1383           <td class="paramkey"></td>
1384           <td></td>
1385           <td class="paramtype">size_t&#160;</td>
1386           <td class="paramname"><em>num_channels</em>, </td>
1387         </tr>
1388         <tr>
1389           <td class="paramkey"></td>
1390           <td></td>
1391           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
1392           <td class="paramname"><em>data_type</em>, </td>
1393         </tr>
1394         <tr>
1395           <td class="paramkey"></td>
1396           <td></td>
1397           <td class="paramtype">int&#160;</td>
1398           <td class="paramname"><em>fixed_point_position</em> = <code>0</code>&#160;</td>
1399         </tr>
1400         <tr>
1401           <td></td>
1402           <td>)</td>
1403           <td></td><td></td>
1404         </tr>
1405       </table>
1406 </div><div class="memdoc">
1407
1408 <p>Initialize the metadata structure for the given tensor shape, number of channels, data type and fixed point position. </p>
1409 <p>(Padding is automatically calculated)</p>
1410 <dl class="section note"><dt>Note</dt><dd>The padding used by this method is really conservative so that the tensor can be used for most functions.</dd></dl>
1411 <dl class="params"><dt>Parameters</dt><dd>
1412   <table class="params">
1413     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements </td></tr>
1414     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>It indicates the number of channels for each tensor element </td></tr>
1415     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
1416     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16.</td></tr>
1417   </table>
1418   </dd>
1419 </dl>
1420 <dl class="section return"><dt>Returns</dt><dd>Total allocation size including padding in bytes. </dd></dl>
1421
1422 </div>
1423 </div>
1424 <a class="anchor" id="a9a30265f100a459de985a9f3f91db76c"></a>
1425 <div class="memitem">
1426 <div class="memproto">
1427       <table class="memname">
1428         <tr>
1429           <td class="memname">size_t init_auto_padding </td>
1430           <td>(</td>
1431           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;&#160;</td>
1432           <td class="paramname"><em>hog_info</em>, </td>
1433         </tr>
1434         <tr>
1435           <td class="paramkey"></td>
1436           <td></td>
1437           <td class="paramtype">unsigned int&#160;</td>
1438           <td class="paramname"><em>width</em>, </td>
1439         </tr>
1440         <tr>
1441           <td class="paramkey"></td>
1442           <td></td>
1443           <td class="paramtype">unsigned int&#160;</td>
1444           <td class="paramname"><em>height</em>&#160;</td>
1445         </tr>
1446         <tr>
1447           <td></td>
1448           <td>)</td>
1449           <td></td><td></td>
1450         </tr>
1451       </table>
1452 </div><div class="memdoc">
1453
1454 <p>Initialize the metadata structure for the given <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata. </p>
1455 <dl class="section note"><dt>Note</dt><dd>init_auto_padding will be used for the tensor initialization.</dd></dl>
1456 <dl class="params"><dt>Parameters</dt><dd>
1457   <table class="params">
1458     <tr><td class="paramdir">[in]</td><td class="paramname">hog_info</td><td><a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata used to allocate normalized <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> space </td></tr>
1459     <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
1460     <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
1461   </table>
1462   </dd>
1463 </dl>
1464
1465 </div>
1466 </div>
1467 <a class="anchor" id="aaee6555ace43b03173844b1a228a3fc3"></a>
1468 <div class="memitem">
1469 <div class="memproto">
1470 <table class="mlabels">
1471   <tr>
1472   <td class="mlabels-left">
1473       <table class="memname">
1474         <tr>
1475           <td class="memname">bool is_resizable </td>
1476           <td>(</td>
1477           <td class="paramname"></td><td>)</td>
1478           <td> const</td>
1479         </tr>
1480       </table>
1481   </td>
1482   <td class="mlabels-right">
1483 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1484   </tr>
1485 </table>
1486 </div><div class="memdoc">
1487
1488 <p>Flag indicating whether the size of the tensor can be changed. </p>
1489 <dl class="section return"><dt>Returns</dt><dd>True if the tensor size can be changed. </dd></dl>
1490
1491 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">ITensorInfo</a>.</p>
1492
1493 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00279">279</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1494
1495 <p>Referenced by <a class="el" href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00114">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00202">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00283">TensorInfo::set_is_resizable()</a>, and <a class="el" href="validation_2_c_l_2_depth_concatenate_layer_8cpp_source.xhtml#l00045">arm_compute::test::validation::TEST_CASE()</a>.</p>
1496 <div class="fragment"><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    {</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;        <span class="keywordflow">return</span> _is_resizable;</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    }</div></div><!-- fragment -->
1497 </div>
1498 </div>
1499 <a class="anchor" id="a6f13b974eeb528acde66de8d9b3fd95c"></a>
1500 <div class="memitem">
1501 <div class="memproto">
1502 <table class="mlabels">
1503   <tr>
1504   <td class="mlabels-left">
1505       <table class="memname">
1506         <tr>
1507           <td class="memname">size_t num_channels </td>
1508           <td>(</td>
1509           <td class="paramname"></td><td>)</td>
1510           <td> const</td>
1511         </tr>
1512       </table>
1513   </td>
1514   <td class="mlabels-right">
1515 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1516   </tr>
1517 </table>
1518 </div><div class="memdoc">
1519
1520 <p>The number of channels for each tensor element. </p>
1521 <dl class="section return"><dt>Returns</dt><dd>The number of channels for each tensor element </dd></dl>
1522
1523 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo</a>.</p>
1524
1525 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00251">251</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1526
1527 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00110">CLAccessor::num_channels()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00108">GCAccessor::num_channels()</a>, <a class="el" href="_tensor_info_8cpp_source.xhtml#l00087">arm_compute::test::validation::TEST_CASE()</a>, and <a class="el" href="_type_printer_8h_source.xhtml#l00605">arm_compute::to_string()</a>.</p>
1528 <div class="fragment"><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;    {</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;        <span class="keywordflow">return</span> _num_channels;</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;    }</div></div><!-- fragment -->
1529 </div>
1530 </div>
1531 <a class="anchor" id="a13622133d9b41900a6a3e8f89e59a78b"></a>
1532 <div class="memitem">
1533 <div class="memproto">
1534 <table class="mlabels">
1535   <tr>
1536   <td class="mlabels-left">
1537       <table class="memname">
1538         <tr>
1539           <td class="memname">size_t num_dimensions </td>
1540           <td>(</td>
1541           <td class="paramname"></td><td>)</td>
1542           <td> const</td>
1543         </tr>
1544       </table>
1545   </td>
1546   <td class="mlabels-right">
1547 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1548   </tr>
1549 </table>
1550 </div><div class="memdoc">
1551
1552 <p>The number of dimensions of the tensor (rank) </p>
1553 <dl class="section return"><dt>Returns</dt><dd>The number of dimensions of the tensor (rank) </dd></dl>
1554
1555 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo</a>.</p>
1556
1557 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00247">247</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1558
1559 <p>References <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions&lt; T &gt;::num_dimensions()</a>.</p>
1560 <div class="fragment"><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    {</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;        <span class="keywordflow">return</span> _tensor_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>();</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div>
1561 </div><!-- fragment -->
1562 </div>
1563 </div>
1564 <a class="anchor" id="a147790358ccd40f61dcd618cd4edd688"></a>
1565 <div class="memitem">
1566 <div class="memproto">
1567 <table class="mlabels">
1568   <tr>
1569   <td class="mlabels-left">
1570       <table class="memname">
1571         <tr>
1572           <td class="memname">size_t offset_element_in_bytes </td>
1573           <td>(</td>
1574           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;&#160;</td>
1575           <td class="paramname"><em>pos</em></td><td>)</td>
1576           <td> const</td>
1577         </tr>
1578       </table>
1579   </td>
1580   <td class="mlabels-right">
1581 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1582   </tr>
1583 </table>
1584 </div><div class="memdoc">
1585
1586 <p>The offset in bytes from the beginning of the memory allocation to access the element at position (x, y, z ...) </p>
1587 <dl class="params"><dt>Parameters</dt><dd>
1588   <table class="params">
1589     <tr><td class="paramdir">[in]</td><td class="paramname">pos</td><td><a class="el" href="struct_vector.xhtml" title="Structure to hold Vector information. ">Vector</a> with the coordinates of the element to access. The size of this vector must be equal to the number of dimensions of the tensor</td></tr>
1590   </table>
1591   </dd>
1592 </dl>
1593 <dl class="section return"><dt>Returns</dt><dd>Offset in bytes from the beginning of the memory allocation to access the element (x, y, z, ...) </dd></dl>
1594
1595 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a8a5312c9a822d27a3b38dc238c1c7de3">ITensorInfo</a>.</p>
1596
1597 <p>Referenced by <a class="el" href="_tensor_info_8h_source.xhtml#l00234">TensorInfo::offset_first_element_in_bytes()</a>.</p>
1598
1599 </div>
1600 </div>
1601 <a class="anchor" id="ab54246abe670b06f5624add7e7022904"></a>
1602 <div class="memitem">
1603 <div class="memproto">
1604 <table class="mlabels">
1605   <tr>
1606   <td class="mlabels-left">
1607       <table class="memname">
1608         <tr>
1609           <td class="memname">size_t offset_first_element_in_bytes </td>
1610           <td>(</td>
1611           <td class="paramname"></td><td>)</td>
1612           <td> const</td>
1613         </tr>
1614       </table>
1615   </td>
1616   <td class="mlabels-right">
1617 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1618   </tr>
1619 </table>
1620 </div><div class="memdoc">
1621
1622 <p>The offset from the beginning of the memory allocation to the first element of the tensor. </p>
1623 <p>This can be used to access efficiently elements in a 2D tensor</p>
1624 <dl class="section return"><dt>Returns</dt><dd>The offset in bytes to access the first element of the tensor. </dd></dl>
1625
1626 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397">ITensorInfo</a>.</p>
1627
1628 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00234">234</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1629
1630 <p>References <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688">TensorInfo::offset_element_in_bytes()</a>.</p>
1631 <div class="fragment"><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;    {</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;        <span class="keywordflow">return</span> _offset_first_element_in_bytes;</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;    }</div></div><!-- fragment -->
1632 </div>
1633 </div>
1634 <a class="anchor" id="adcf156ba30ff118c28690671e83ea06b"></a>
1635 <div class="memitem">
1636 <div class="memproto">
1637 <table class="mlabels">
1638   <tr>
1639   <td class="mlabels-left">
1640       <table class="memname">
1641         <tr>
1642           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>&amp; operator= </td>
1643           <td>(</td>
1644           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td>
1645           <td class="paramname"></td><td>)</td>
1646           <td></td>
1647         </tr>
1648       </table>
1649   </td>
1650   <td class="mlabels-right">
1651 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
1652   </tr>
1653 </table>
1654 </div><div class="memdoc">
1655
1656 <p>Allow instances of this class to be copied. </p>
1657
1658 </div>
1659 </div>
1660 <a class="anchor" id="a532c27f6bf3cd9275cb7fc9a0d0bbf6e"></a>
1661 <div class="memitem">
1662 <div class="memproto">
1663 <table class="mlabels">
1664   <tr>
1665   <td class="mlabels-left">
1666       <table class="memname">
1667         <tr>
1668           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>&amp; operator= </td>
1669           <td>(</td>
1670           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&amp;&#160;</td>
1671           <td class="paramname"></td><td>)</td>
1672           <td></td>
1673         </tr>
1674       </table>
1675   </td>
1676   <td class="mlabels-right">
1677 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
1678   </tr>
1679 </table>
1680 </div><div class="memdoc">
1681
1682 <p>Allow instances of this class to be moved. </p>
1683
1684 </div>
1685 </div>
1686 <a class="anchor" id="a79e20eacb1e963e24a21ebd7369effd7"></a>
1687 <div class="memitem">
1688 <div class="memproto">
1689 <table class="mlabels">
1690   <tr>
1691   <td class="mlabels-left">
1692       <table class="memname">
1693         <tr>
1694           <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> padding </td>
1695           <td>(</td>
1696           <td class="paramname"></td><td>)</td>
1697           <td> const</td>
1698         </tr>
1699       </table>
1700   </td>
1701   <td class="mlabels-right">
1702 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1703   </tr>
1704 </table>
1705 </div><div class="memdoc">
1706
1707 <p>Padding of tensor. </p>
1708 <dl class="section return"><dt>Returns</dt><dd>Padding. </dd></dl>
1709
1710 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">ITensorInfo</a>.</p>
1711
1712 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00271">271</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1713
1714 <p>Referenced by <a class="el" href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00114">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_2_accumulate_8cpp_source.xhtml#l00131">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00118">GCAccessor::padding()</a>, and <a class="el" href="_c_l_accessor_8h_source.xhtml#l00120">CLAccessor::padding()</a>.</p>
1715 <div class="fragment"><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    {</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;        <span class="keywordflow">return</span> _padding;</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    }</div></div><!-- fragment -->
1716 </div>
1717 </div>
1718 <a class="anchor" id="ac74736e3863207232a23b7181c1d0f44"></a>
1719 <div class="memitem">
1720 <div class="memproto">
1721 <table class="mlabels">
1722   <tr>
1723   <td class="mlabels-left">
1724       <table class="memname">
1725         <tr>
1726           <td class="memname"><a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info </td>
1727           <td>(</td>
1728           <td class="paramname"></td><td>)</td>
1729           <td> const</td>
1730         </tr>
1731       </table>
1732   </td>
1733   <td class="mlabels-right">
1734 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1735   </tr>
1736 </table>
1737 </div><div class="memdoc">
1738
1739 <p>Get the quantization settings (scale and offset) of the tensor. </p>
1740 <dl class="section return"><dt>Returns</dt><dd>A <a class="el" href="structarm__compute_1_1_quantization_info.xhtml" title="Quantization settings (used for QASYMM8 data type) ">QuantizationInfo</a> containing the scale and offset. </dd></dl>
1741
1742 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">ITensorInfo</a>.</p>
1743
1744 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00296">296</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1745
1746 <p>Referenced by <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00119">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_accessor_8h_source.xhtml#l00130">CLAccessor::quantization_info()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00128">GCAccessor::quantization_info()</a>, and <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>.</p>
1747 <div class="fragment"><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;    {</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;        <span class="keywordflow">return</span> _quantization_info;</div><div class="line"><a name="l00299"></a><span class="lineno">  299</span>&#160;    }</div></div><!-- fragment -->
1748 </div>
1749 </div>
1750 <a class="anchor" id="ad29c039b6f3c4534928ed99aa9f53027"></a>
1751 <div class="memitem">
1752 <div class="memproto">
1753 <table class="mlabels">
1754   <tr>
1755   <td class="mlabels-left">
1756       <table class="memname">
1757         <tr>
1758           <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&amp; reset_padding </td>
1759           <td>(</td>
1760           <td class="paramname"></td><td>)</td>
1761           <td></td>
1762         </tr>
1763       </table>
1764   </td>
1765   <td class="mlabels-right">
1766 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1767   </tr>
1768 </table>
1769 </div><div class="memdoc">
1770
1771 <p>Resets the padding settings of the tensor. </p>
1772 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor&#39;s metadata. ">ITensorInfo</a> object </dd></dl>
1773
1774 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd">ITensorInfo</a>.</p>
1775
1776 </div>
1777 </div>
1778 <a class="anchor" id="a613528bd0feb15ee8d6df06cbdb629f8"></a>
1779 <div class="memitem">
1780 <div class="memproto">
1781 <table class="mlabels">
1782   <tr>
1783   <td class="mlabels-left">
1784       <table class="memname">
1785         <tr>
1786           <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&amp; set_data_type </td>
1787           <td>(</td>
1788           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
1789           <td class="paramname"><em>data_type</em></td><td>)</td>
1790           <td></td>
1791         </tr>
1792       </table>
1793   </td>
1794   <td class="mlabels-right">
1795 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1796   </tr>
1797 </table>
1798 </div><div class="memdoc">
1799
1800 <p>Set the data type to the specified value. </p>
1801 <dl class="section warning"><dt>Warning</dt><dd>This resets the format to UNKNOWN.</dd></dl>
1802 <dl class="params"><dt>Parameters</dt><dd>
1803   <table class="params">
1804     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>The new data type.</td></tr>
1805   </table>
1806   </dd>
1807 </dl>
1808 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor&#39;s metadata. ">ITensorInfo</a> object </dd></dl>
1809
1810 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">ITensorInfo</a>.</p>
1811
1812 <p>Referenced by <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>.</p>
1813
1814 </div>
1815 </div>
1816 <a class="anchor" id="a2732b9eab657cad69807adb815b97c9f"></a>
1817 <div class="memitem">
1818 <div class="memproto">
1819 <table class="mlabels">
1820   <tr>
1821   <td class="mlabels-left">
1822       <table class="memname">
1823         <tr>
1824           <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&amp; set_fixed_point_position </td>
1825           <td>(</td>
1826           <td class="paramtype">int&#160;</td>
1827           <td class="paramname"><em>fixed_point_position</em></td><td>)</td>
1828           <td></td>
1829         </tr>
1830       </table>
1831   </td>
1832   <td class="mlabels-right">
1833 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1834   </tr>
1835 </table>
1836 </div><div class="memdoc">
1837
1838 <p>Set the fixed point position to the specified value. </p>
1839 <dl class="section warning"><dt>Warning</dt><dd>The fixed point position must be set once the data type has been configured</dd></dl>
1840 <dl class="params"><dt>Parameters</dt><dd>
1841   <table class="params">
1842     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>The new fixed point position</td></tr>
1843   </table>
1844   </dd>
1845 </dl>
1846 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor&#39;s metadata. ">ITensorInfo</a> object </dd></dl>
1847
1848 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a8d9488caf817e12132f0ca2a4c30deba">ITensorInfo</a>.</p>
1849
1850 </div>
1851 </div>
1852 <a class="anchor" id="af501bc12f51874e786b0f28016a99ff7"></a>
1853 <div class="memitem">
1854 <div class="memproto">
1855 <table class="mlabels">
1856   <tr>
1857   <td class="mlabels-left">
1858       <table class="memname">
1859         <tr>
1860           <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&amp; set_format </td>
1861           <td>(</td>
1862           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
1863           <td class="paramname"><em>format</em></td><td>)</td>
1864           <td></td>
1865         </tr>
1866       </table>
1867   </td>
1868   <td class="mlabels-right">
1869 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1870   </tr>
1871 </table>
1872 </div><div class="memdoc">
1873
1874 <p>Set the format of an already initialized tensor. </p>
1875 <dl class="section note"><dt>Note</dt><dd>If the data type has already been configured (i.e. not UNKNOWN) it must match the new format. If data type hasn't been configured it will be based on the format.</dd></dl>
1876 <dl class="params"><dt>Parameters</dt><dd>
1877   <table class="params">
1878     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single-plane format of the tensor.</td></tr>
1879   </table>
1880   </dd>
1881 </dl>
1882 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor&#39;s metadata. ">ITensorInfo</a> object </dd></dl>
1883
1884 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a17394f0f7aea22d9b2d4c6f33bfa69ca">ITensorInfo</a>.</p>
1885
1886 <p>Referenced by <a class="el" href="validation_2_c_l_2_harris_corners_8cpp_source.xhtml#l00058">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_2_min_max_location_8cpp_source.xhtml#l00080">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE()</a>, <a class="el" href="validation_2fixtures_2_magnitude_fixture_8h_source.xhtml#l00046">MagnitudeValidationFixture&lt; TensorType, AccessorType, FunctionType, T &gt;::setup()</a>, <a class="el" href="_phase_fixture_8h_source.xhtml#l00046">PhaseValidationFixture&lt; TensorType, AccessorType, FunctionType, T &gt;::setup()</a>, and <a class="el" href="_c_l_2_min_max_location_8cpp_source.xhtml#l00045">arm_compute::test::validation::validate_configuration()</a>.</p>
1887
1888 </div>
1889 </div>
1890 <a class="anchor" id="a78bf77b2d9b959259f77a32b9a412184"></a>
1891 <div class="memitem">
1892 <div class="memproto">
1893 <table class="mlabels">
1894   <tr>
1895   <td class="mlabels-left">
1896       <table class="memname">
1897         <tr>
1898           <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&amp; set_is_resizable </td>
1899           <td>(</td>
1900           <td class="paramtype">bool&#160;</td>
1901           <td class="paramname"><em>is_resizable</em></td><td>)</td>
1902           <td></td>
1903         </tr>
1904       </table>
1905   </td>
1906   <td class="mlabels-right">
1907 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1908   </tr>
1909 </table>
1910 </div><div class="memdoc">
1911
1912 <p>Set the flag whether the tensor size can be changed. </p>
1913 <dl class="params"><dt>Parameters</dt><dd>
1914   <table class="params">
1915     <tr><td class="paramdir">[in]</td><td class="paramname">is_resizable</td><td>Flag that marks the tensor if it can be changed or not.</td></tr>
1916   </table>
1917   </dd>
1918 </dl>
1919 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor&#39;s metadata. ">ITensorInfo</a> object </dd></dl>
1920
1921 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9273842d8e5dc1a3c7fab727176fd7fe">ITensorInfo</a>.</p>
1922
1923 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00283">283</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1924
1925 <p>References <a class="el" href="_tensor_info_8h_source.xhtml#l00279">TensorInfo::is_resizable()</a>.</p>
1926 <div class="fragment"><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;    {</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;        _is_resizable = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>;</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;        <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aaee6555ace43b03173844b1a228a3fc3"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">arm_compute::TensorInfo::is_resizable</a></div><div class="ttdeci">bool is_resizable() const override</div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00279">TensorInfo.h:279</a></div></div>
1927 </div><!-- fragment -->
1928 </div>
1929 </div>
1930 <a class="anchor" id="a5b0a9fd674f8748506b6944c030bc47e"></a>
1931 <div class="memitem">
1932 <div class="memproto">
1933 <table class="mlabels">
1934   <tr>
1935   <td class="mlabels-left">
1936       <table class="memname">
1937         <tr>
1938           <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&amp; set_num_channels </td>
1939           <td>(</td>
1940           <td class="paramtype">int&#160;</td>
1941           <td class="paramname"><em>num_channels</em></td><td>)</td>
1942           <td></td>
1943         </tr>
1944       </table>
1945   </td>
1946   <td class="mlabels-right">
1947 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1948   </tr>
1949 </table>
1950 </div><div class="memdoc">
1951
1952 <p>Set the number of channels to the specified value. </p>
1953 <dl class="section warning"><dt>Warning</dt><dd>This resets the format to UNKNOWN.</dd></dl>
1954 <dl class="params"><dt>Parameters</dt><dd>
1955   <table class="params">
1956     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>New number of channels.</td></tr>
1957   </table>
1958   </dd>
1959 </dl>
1960 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor&#39;s metadata. ">ITensorInfo</a> object </dd></dl>
1961
1962 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#aaf74be25e2392705f29352ffaa4b1f9d">ITensorInfo</a>.</p>
1963
1964 </div>
1965 </div>
1966 <a class="anchor" id="acda9036ad24c455f67f2fea388a0ae13"></a>
1967 <div class="memitem">
1968 <div class="memproto">
1969 <table class="mlabels">
1970   <tr>
1971   <td class="mlabels-left">
1972       <table class="memname">
1973         <tr>
1974           <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&amp; set_quantization_info </td>
1975           <td>(</td>
1976           <td class="paramtype">const <a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &amp;&#160;</td>
1977           <td class="paramname"><em>quantization_info</em></td><td>)</td>
1978           <td></td>
1979         </tr>
1980       </table>
1981   </td>
1982   <td class="mlabels-right">
1983 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
1984   </tr>
1985 </table>
1986 </div><div class="memdoc">
1987
1988 <p>Set the quantization settings (scale and offset) of the tensor. </p>
1989 <dl class="params"><dt>Parameters</dt><dd>
1990   <table class="params">
1991     <tr><td class="paramdir">[in]</td><td class="paramname">quantization_info</td><td><a class="el" href="structarm__compute_1_1_quantization_info.xhtml" title="Quantization settings (used for QASYMM8 data type) ">QuantizationInfo</a> containing the scale and offset</td></tr>
1992   </table>
1993   </dd>
1994 </dl>
1995 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor&#39;s metadata. ">ITensorInfo</a> object </dd></dl>
1996
1997 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a575d37eaf8a905c8ca3c0250757c2b81">ITensorInfo</a>.</p>
1998
1999 <p>Referenced by <a class="el" href="tests_2_utils_8h_source.xhtml#l00474">arm_compute::test::create_tensor()</a>, <a class="el" href="validation_2_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00052">arm_compute::test::validation::DATA_TEST_CASE()</a>, and <a class="el" href="validation_2fixtures_2_g_e_m_m_lowp_fixture_8h_source.xhtml#l00050">GEMMLowpMatrixMultiplyCoreValidationFixture&lt; TensorType, AccessorType, FunctionType &gt;::setup()</a>.</p>
2000
2001 </div>
2002 </div>
2003 <a class="anchor" id="a7b6610e6100c67d39b712df6f4f80dcf"></a>
2004 <div class="memitem">
2005 <div class="memproto">
2006 <table class="mlabels">
2007   <tr>
2008   <td class="mlabels-left">
2009       <table class="memname">
2010         <tr>
2011           <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>&amp; set_tensor_shape </td>
2012           <td>(</td>
2013           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
2014           <td class="paramname"><em>shape</em></td><td>)</td>
2015           <td></td>
2016         </tr>
2017       </table>
2018   </td>
2019   <td class="mlabels-right">
2020 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
2021   </tr>
2022 </table>
2023 </div><div class="memdoc">
2024
2025 <p>Set the shape of an already initialized tensor. </p>
2026 <dl class="section warning"><dt>Warning</dt><dd>Changing the shape requires to recompute the strides and is therefore only possible if the tensor hasn't been allocated yet.</dd></dl>
2027 <dl class="params"><dt>Parameters</dt><dd>
2028   <table class="params">
2029     <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td>New tensor shape.</td></tr>
2030   </table>
2031   </dd>
2032 </dl>
2033 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor&#39;s metadata. ">ITensorInfo</a> object </dd></dl>
2034
2035 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">ITensorInfo</a>.</p>
2036
2037 <p>Referenced by <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>.</p>
2038
2039 </div>
2040 </div>
2041 <a class="anchor" id="a43e45363267b6bce4bb6770febe9ce11"></a>
2042 <div class="memitem">
2043 <div class="memproto">
2044 <table class="mlabels">
2045   <tr>
2046   <td class="mlabels-left">
2047       <table class="memname">
2048         <tr>
2049           <td class="memname">void set_valid_region </td>
2050           <td>(</td>
2051           <td class="paramtype">const <a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &amp;&#160;</td>
2052           <td class="paramname"><em>valid_region</em></td><td>)</td>
2053           <td></td>
2054         </tr>
2055       </table>
2056   </td>
2057   <td class="mlabels-right">
2058 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
2059   </tr>
2060 </table>
2061 </div><div class="memdoc">
2062
2063 <p>Set the valid region of the tensor. </p>
2064 <dl class="params"><dt>Parameters</dt><dd>
2065   <table class="params">
2066     <tr><td class="paramdir">[in]</td><td class="paramname">valid_region</td><td>Valid region to set. </td></tr>
2067   </table>
2068   </dd>
2069 </dl>
2070
2071 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">ITensorInfo</a>.</p>
2072
2073 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00292">292</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2074
2075 <p>References <a class="el" href="_tensor_info_8h_source.xhtml#l00288">TensorInfo::valid_region()</a>.</p>
2076 <div class="fragment"><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;    {</div><div class="line"><a name="l00294"></a><span class="lineno">  294</span>&#160;        _valid_region = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>;</div><div class="line"><a name="l00295"></a><span class="lineno">  295</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a3c20d908342087484d883574d55dd482"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">arm_compute::TensorInfo::valid_region</a></div><div class="ttdeci">ValidRegion valid_region() const override</div><div class="ttdoc">Valid region of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00288">TensorInfo.h:288</a></div></div>
2077 </div><!-- fragment -->
2078 </div>
2079 </div>
2080 <a class="anchor" id="a5f1ca9d674346287cae57a6c5b5c24ec"></a>
2081 <div class="memitem">
2082 <div class="memproto">
2083 <table class="mlabels">
2084   <tr>
2085   <td class="mlabels-left">
2086       <table class="memname">
2087         <tr>
2088           <td class="memname">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a>&amp; strides_in_bytes </td>
2089           <td>(</td>
2090           <td class="paramname"></td><td>)</td>
2091           <td> const</td>
2092         </tr>
2093       </table>
2094   </td>
2095   <td class="mlabels-right">
2096 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
2097   </tr>
2098 </table>
2099 </div><div class="memdoc">
2100
2101 <p>The strides in bytes for accessing each dimension of the tensor. </p>
2102 <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_strides.xhtml" title="Strides of an item in bytes. ">Strides</a> in bytes for each tensor dimension </dd></dl>
2103
2104 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">ITensorInfo</a>.</p>
2105
2106 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00230">230</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2107 <div class="fragment"><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;    {</div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;        <span class="keywordflow">return</span> _strides_in_bytes;</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;    }</div></div><!-- fragment -->
2108 </div>
2109 </div>
2110 <a class="anchor" id="a269b19ce3f357ac65f41f9951906e38e"></a>
2111 <div class="memitem">
2112 <div class="memproto">
2113 <table class="mlabels">
2114   <tr>
2115   <td class="mlabels-left">
2116       <table class="memname">
2117         <tr>
2118           <td class="memname">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensor_shape </td>
2119           <td>(</td>
2120           <td class="paramname"></td><td>)</td>
2121           <td> const</td>
2122         </tr>
2123       </table>
2124   </td>
2125   <td class="mlabels-right">
2126 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
2127   </tr>
2128 </table>
2129 </div><div class="memdoc">
2130
2131 <p>Size for each dimension of the tensor. </p>
2132 <dl class="section return"><dt>Returns</dt><dd>A vector with the size for each dimension of the tensor </dd></dl>
2133
2134 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo</a>.</p>
2135
2136 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00255">255</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2137
2138 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00115">CLAccessor::num_elements()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00113">GCAccessor::num_elements()</a>, <a class="el" href="_c_l_accessor_8h_source.xhtml#l00085">CLAccessor::shape()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00083">GCAccessor::shape()</a>, <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>, and <a class="el" href="_type_printer_8h_source.xhtml#l00605">arm_compute::to_string()</a>.</p>
2139 <div class="fragment"><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    {</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        <span class="keywordflow">return</span> _tensor_shape;</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    }</div></div><!-- fragment -->
2140 </div>
2141 </div>
2142 <a class="anchor" id="af398466b602a02b42d8df19fb66a6c60"></a>
2143 <div class="memitem">
2144 <div class="memproto">
2145 <table class="mlabels">
2146   <tr>
2147   <td class="mlabels-left">
2148       <table class="memname">
2149         <tr>
2150           <td class="memname">size_t total_size </td>
2151           <td>(</td>
2152           <td class="paramname"></td><td>)</td>
2153           <td> const</td>
2154         </tr>
2155       </table>
2156   </td>
2157   <td class="mlabels-right">
2158 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
2159   </tr>
2160 </table>
2161 </div><div class="memdoc">
2162
2163 <p>Returns the total size of the tensor in bytes. </p>
2164 <dl class="section return"><dt>Returns</dt><dd>Total size of the tensor in bytes. </dd></dl>
2165
2166 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">ITensorInfo</a>.</p>
2167
2168 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00267">267</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2169
2170 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00095">CLAccessor::size()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00093">GCAccessor::size()</a>, and <a class="el" href="_tensor_allocator_8cpp_source.xhtml#l00042">arm_compute::test::validation::TEST_CASE()</a>.</p>
2171 <div class="fragment"><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;    {</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;        <span class="keywordflow">return</span> _total_size;</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;    }</div></div><!-- fragment -->
2172 </div>
2173 </div>
2174 <a class="anchor" id="a3c20d908342087484d883574d55dd482"></a>
2175 <div class="memitem">
2176 <div class="memproto">
2177 <table class="mlabels">
2178   <tr>
2179   <td class="mlabels-left">
2180       <table class="memname">
2181         <tr>
2182           <td class="memname"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region </td>
2183           <td>(</td>
2184           <td class="paramname"></td><td>)</td>
2185           <td> const</td>
2186         </tr>
2187       </table>
2188   </td>
2189   <td class="mlabels-right">
2190 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span>  </td>
2191   </tr>
2192 </table>
2193 </div><div class="memdoc">
2194
2195 <p>Valid region of the tensor. </p>
2196 <p>All elements in the valid region have defined values, i.e. are not undefined.</p>
2197 <dl class="section return"><dt>Returns</dt><dd>The valid region. </dd></dl>
2198
2199 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">ITensorInfo</a>.</p>
2200
2201 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00288">288</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2202
2203 <p>Referenced by <a class="el" href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00114">arm_compute::test::validation::DATA_TEST_CASE()</a>, and <a class="el" href="_tensor_info_8h_source.xhtml#l00292">TensorInfo::set_valid_region()</a>.</p>
2204 <div class="fragment"><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;    {</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;        <span class="keywordflow">return</span> _valid_region;</div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;    }</div></div><!-- fragment -->
2205 </div>
2206 </div>
2207 <hr/>The documentation for this class was generated from the following file:<ul>
2208 <li>arm_compute/core/<a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a></li>
2209 </ul>
2210 </div><!-- contents -->
2211 </div><!-- doc-content -->
2212 <!-- start footer part -->
2213 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
2214   <ul>
2215     <li class="navelem"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a></li>
2216     <li class="footer">Generated on Fri Mar 2 2018 12:37:59 for Compute Library by
2217     <a href="http://www.doxygen.org/index.html">
2218     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
2219   </ul>
2220 </div>
2221 </body>
2222 </html>